Fuzzy Soft Multiset Theory | Zendy

Shawkat Alkhazaleh | Zendy; Abdul Razak Salleh | Zendy

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Fuzzy Soft Multiset Theory

Author(s) -

Shawkat Alkhazaleh,

Abdul Razak Salleh

Publication year - 2012

Publication title -

abstract and applied analysis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.228

H-Index - 56

eISSN - 1687-0409

pISSN - 1085-3375

DOI - 10.1155/2012/350603

Subject(s) - multiset , generalization , soft set , mathematics , fuzzy set , fuzzy logic , set (abstract data type) , set theory , algebra over a field , discrete mathematics , pure mathematics , artificial intelligence , computer science , mathematical analysis , programming language

In 1999 Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty. Alkhazaleh et al. in 2011 introduced the definition of a soft multiset as a generalization of Molodtsov's soft set. In this paper we give the definition of fuzzy soft multiset as a combination of soft multiset and fuzzy set and study its properties and operations. We give examples for these concepts. Basic properties of the operations are also given. An application of this theory in decision-making problems is shown

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